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DBMS > AllegroGraph vs. Apache Kylin vs. Dgraph vs. InfinityDB

System Properties Comparison AllegroGraph vs. Apache Kylin vs. Dgraph vs. InfinityDB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonApache Kylin  Xexclude from comparisonDgraph  Xexclude from comparisonInfinityDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackDistributed and scalable native Graph DBMSA Java embedded Key-Value Store which extends the Java Map interface
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSGraph DBMSKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.00
Rank#378  Overall
#57  Key-value stores
Websiteallegrograph.comkylin.apache.orgdgraph.ioboilerbay.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlkylin.apache.org/­docsdgraph.io/­docsboilerbay.com/­infinitydb/­manual
DeveloperFranz Inc.Apache Software Foundation, originally contributed from eBay IncDgraph Labs, Inc.Boiler Bay Inc.
Initial release2004201520162002
Current release8.0, December 20233.1.0, July 20204.0
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoJava
Server operating systemsLinux
OS X
Windows
LinuxLinux
OS X
Windows
All OS with a Java VM
Data schemeyes infoRDF schemasyesschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade
Typing infopredefined data types such as float or dateyesyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arrays
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no infobulk load of XML files possiblenonono
Secondary indexesyesyesyesno infomanual creation possible, using inversions based on multi-value capability
SQL infoSupport of SQLSPARQL is used as query languageANSI SQL for queries (using Apache Calcite)nono
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
RESTful HTTP API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeswith Federationyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Synchronous replication via Raftnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integritynonono infomanual creation possible, using inversions based on multi-value capability
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoOptimistic locking for transactions; no isolation for bulk loads
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationno infoPlanned for future releasesno
More information provided by the system vendor
AllegroGraphApache KylinDgraphInfinityDB
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
News

Can Neuro-Symbolic AI Solve AI’s Weaknesses?
17 April 2024

100 Companies That Matter in KM – Franz Inc.
3 April 2024

Exploring AllegroGraph v8 – Unleashing the Power of Neuro-Symbolic AI (Recorded Webinar)
9 February 2024

What is Neuro-Symbolic AI?
23 January 2024

Allegro CL v11 – Now Available! – The Neuro-Symbolic AI Programming Platform
8 January 2024

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More resources
AllegroGraphApache KylinDgraphInfinityDB
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